SAP
Senior ML Research Engineer & Architect - SAP-RPT family(m/w/x)
Full-timeWith HomeofficeSenior
Garching bei München
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SASAP
Applied Senior/Staff Scientist for Relational Enterprise Data (T3/T4)(m/w/x)
Garching bei München
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Tailoring SAP-RPT models for intricate schemas, developing European foundation models with Deep Learning and Generative AI. Extensive hands-on experience with machine learning on structured enterprise data, with Deep Learning and Transformer architectures required. Flexible working models available.
Requirements
- PhD or Master's degree in Computer Science, AI, or relevant disciplines
- 5+ years professional experience in ML model development
- Extensive hands-on ML experience on structured/tabular/relational enterprise data
- Preference for SAP S/4HANA schemas and business logic experience
- Technical mastery of Deep Learning and Transformer architectures
- Proven track record of application to structured enterprise data
- Adaptation of large-scale foundation models
- Software engineering excellence in Python
- Proven track record building/scaling experiments with PyTorch or TensorFlow
- Strong communication and collaboration skills
- Ability to work in cross-cultural teams
Tasks
- Tailor SAP-RPT models to navigate intricate schemas and logic
- Bridge model research and data experts for sound, fluent models
- Embed business knowledge through experimentation and evaluation
- Leverage Deep Learning, Generative AI for SAP-RPT evolution
- Develop European foundation models for global enterprise needs
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
- ERP
- CRM
- SAP S/4HANA
- Deep Learning
- Transformer architectures
- Foundation models
- Python
- PyTorch
- TensorFlow
Benefits
Learning & Development
- Constant learning
- Skill growth
- Personal development
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SASAP
Applied Senior/Staff Scientist for Relational Enterprise Data (T3/T4)(m/w/x)
Garching bei München
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Tailoring SAP-RPT models for intricate schemas, developing European foundation models with Deep Learning and Generative AI. Extensive hands-on experience with machine learning on structured enterprise data, with Deep Learning and Transformer architectures required. Flexible working models available.
Requirements
- PhD or Master's degree in Computer Science, AI, or relevant disciplines
- 5+ years professional experience in ML model development
- Extensive hands-on ML experience on structured/tabular/relational enterprise data
- Preference for SAP S/4HANA schemas and business logic experience
- Technical mastery of Deep Learning and Transformer architectures
- Proven track record of application to structured enterprise data
- Adaptation of large-scale foundation models
- Software engineering excellence in Python
- Proven track record building/scaling experiments with PyTorch or TensorFlow
- Strong communication and collaboration skills
- Ability to work in cross-cultural teams
Tasks
- Tailor SAP-RPT models to navigate intricate schemas and logic
- Bridge model research and data experts for sound, fluent models
- Embed business knowledge through experimentation and evaluation
- Leverage Deep Learning, Generative AI for SAP-RPT evolution
- Develop European foundation models for global enterprise needs
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
- ERP
- CRM
- SAP S/4HANA
- Deep Learning
- Transformer architectures
- Foundation models
- Python
- PyTorch
- TensorFlow
Benefits
Learning & Development
- Constant learning
- Skill growth
- Personal development
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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